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{
    "pk": 27996,
    "title": "How to collect data to simulate the dynamic of trains-passengers’ interaction",
    "subtitle": null,
    "abstract": "This paper presents a motivation-based model in order to\nexplore crowd behavior. The case study is about what motivates\nthe decision processes of passengers about choice of location on\nthe station platform for ingressing and egressing trains. The goal\nof the research is twofold: to establish a cognitive generic crowd\nbehavior modeling method and to respond to a major challenge\nof public transportation: to reduce dwell time to ensure a high\nlevel of service.\nWe first introduce motivation-based modeling for the\nsimulation of the dynamics of numerous cognitive agents and\nreport the collection of passengers’ dynamics that was done\nthrough an extensive survey observation. Most significant\nvariables were then extracted from factor analysis to compose\nand distinguish six main motivation based strategies that are to\nbe used for the simulation of crowd behavior in the train station.\nDiscussion is about the advantages of motivation-based\nsimulation in terms of robustness and adaptability and\nconclusion about how Artificial Intelligence, Cognitive\nPsychology and Data Science operate together to model such\ncomplex systems.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "motivation-based model"
        },
        {
            "word": "crowd behavior"
        },
        {
            "word": "dwell-\ntime"
        },
        {
            "word": "generalized linear model"
        }
    ],
    "section": "Publication-based-Talks",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/7700d34t",
    "frozenauthors": [
        {
            "first_name": "Fatma",
            "middle_name": "",
            "last_name": "Elleuch",
            "name_suffix": "",
            "institution": "SNCF Reseau, CNAM Cedric",
            "department": ""
        },
        {
            "first_name": "Stephanie",
            "middle_name": "",
            "last_name": "Donnet",
            "name_suffix": "",
            "institution": "SNCF Reseau",
            "department": ""
        },
        {
            "first_name": "Axel",
            "middle_name": "",
            "last_name": "Buendia",
            "name_suffix": "",
            "institution": "CNAM Cedric",
            "department": ""
        },
        {
            "first_name": "Stephane",
            "middle_name": "",
            "last_name": "Natkin",
            "name_suffix": "",
            "institution": "CNAM Cedric",
            "department": ""
        },
        {
            "first_name": "Charles",
            "middle_name": "",
            "last_name": "Tijus",
            "name_suffix": "",
            "institution": "LUTIN",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2018-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27996/galley/17635/download/"
        }
    ]
}